为军事AI系统设计新评估框架，解决传统标准不适用问题
Rethinking Technological Readiness in the Era of AI Uncertainty
- 构建类比传统技术成熟度的AI专用评估框架
- 强调可靠性、安全性和人机协同等关键指标
- 适合国防决策者评估AI系统部署风险
人工智能（AI）即将重塑军事作战系统，但确保这些AI能力真正具备实战能力面临新挑战。现有技术成熟度评估未能捕捉关键的AI特有因素，可能导致部署风险。本文提出一种新的AI就绪框架，用于评估军事系统中AI组件的成熟度与可信度。核心观点是：需设计一种类似传统技术成熟度等级（TRL）但针对AI特性扩展的专门框架，以更准确衡量系统的可靠性、安全性及战场适用性。基于当前的数据评估工具和测试实践，验证了该框架近期内实施的可行性。这一结构化方法为军事决策者提供了更清晰的判断依据，帮助其确认AI系统是否达到性能、透明度和人机融合的必要标准，从而提升国防科技管理与风险评估水平。
原文摘要 · Abstract (English)
Artificial intelligence (AI) is poised to revolutionize military combat systems, but ensuring these AI-enabled capabilities are truly mission-ready presents new challenges. We argue that current technology readiness assessments fail to capture critical AI-specific factors, leading to potential risks in deployment. We propose a new AI Readiness Framework to evaluate the maturity and trustworthiness of AI components in military systems. The central thesis is that a tailored framework - analogous to traditional Technology Readiness Levels (TRL) but expanded for AI - can better gauge an AI system's reliability, safety, and suitability for combat use. Using current data evaluation tools and testing practices, we demonstrate the framework's feasibility for near-term implementation. This structured approach provides military decision-makers with clearer insight into whether an AI-enabled system has met the necessary standards of performance, transparency, and human integration to be deployed with confidence, thus advancing the field of defense technology management and risk assessment.
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